Armando J. Mendez

9.0k total citations · 1 hit paper
164 papers, 6.3k citations indexed

About

Armando J. Mendez is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Armando J. Mendez has authored 164 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Surgery, 30 papers in Cardiology and Cardiovascular Medicine and 26 papers in Molecular Biology. Recurrent topics in Armando J. Mendez's work include Neuroendocrine regulation and behavior (21 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers) and Adipokines, Inflammation, and Metabolic Diseases (13 papers). Armando J. Mendez is often cited by papers focused on Neuroendocrine regulation and behavior (21 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers) and Adipokines, Inflammation, and Metabolic Diseases (13 papers). Armando J. Mendez collaborates with scholars based in United States, Italy and United Kingdom. Armando J. Mendez's co-authors include Michael E. McCullough, Angela Szeto, Philip M. McCabe, Patricia Smith Churchland, Neil Schneiderman, Camillo Ricordi, Mark S. Nash, Ronald Goldberg, Julio A. Chirinos and Bradley T. Hyman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Armando J. Mendez

160 papers receiving 6.2k citations

Hit Papers

Advances in human oxytoci... 2022 2026 2023 2024 2022 25 50 75 100

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Armando J. Mendez 1.6k 1.5k 1.2k 928 751 164 6.3k
Fabio Facchinetti 779 0.5× 1.1k 0.7× 696 0.6× 637 0.7× 1.9k 2.5× 594 12.4k
Birgit Stoffel‐Wagner 815 0.5× 1.0k 0.7× 1.0k 0.8× 414 0.4× 812 1.1× 200 7.2k
Hiroshi Okamoto 2.0k 1.3× 2.2k 1.5× 227 0.2× 505 0.5× 539 0.7× 243 8.0k
Günter K. Stalla 2.0k 1.3× 2.5k 1.7× 1.0k 0.8× 498 0.5× 1.3k 1.8× 306 13.5k
Chiara Benedetto 825 0.5× 1.3k 0.9× 213 0.2× 349 0.4× 915 1.2× 405 9.2k
Akihisa Iguchi 1.3k 0.8× 1.9k 1.3× 194 0.2× 1.2k 1.3× 2.3k 3.1× 311 9.2k
Janet E. Hall 533 0.3× 2.1k 1.4× 364 0.3× 739 0.8× 775 1.0× 237 12.9k
Annemieke Kavelaars 714 0.5× 3.1k 2.1× 532 0.4× 272 0.3× 2.7k 3.6× 248 13.9k
Tatsuyuki Kakuma 642 0.4× 1.5k 1.0× 383 0.3× 408 0.4× 628 0.8× 233 6.8k
Harpal Randeva 1.2k 0.8× 2.4k 1.6× 262 0.2× 1.4k 1.5× 2.7k 3.6× 296 11.9k

Countries citing papers authored by Armando J. Mendez

Since Specialization
Citations

This map shows the geographic impact of Armando J. Mendez's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Armando J. Mendez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armando J. Mendez more than expected).

Fields of papers citing papers by Armando J. Mendez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Armando J. Mendez. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Armando J. Mendez. The network helps show where Armando J. Mendez may publish in the future.

Co-authorship network of co-authors of Armando J. Mendez

This figure shows the co-authorship network connecting the top 25 collaborators of Armando J. Mendez. A scholar is included among the top collaborators of Armando J. Mendez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Armando J. Mendez. Armando J. Mendez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Njeim, Rachel, Alexis Sloan, Anthony J. Griswold, et al.. (2025). Modulation of the Apolipoprotein M/S1PR4 Pathway Reduces Podocyte Lipid Overload in Alport Syndrome via Distinct Autophagy and Efflux Mechanisms. Journal of the American Society of Nephrology.
3.
Mendez, Armando J., et al.. (2024). The associations of spirituality and Hispanic ethnicity with neuroendocrine biomarkers among patients with colorectal cancer. Journal of Psychosomatic Research. 185. 111865–111865.
6.
Dennison, Jessica, Armando J. Mendez, Angela Szeto, et al.. (2023). Low-Dose Chidamide Treatment Displays Sex-Specific Differences in the 3xTg-AD Mouse. Biomolecules. 13(9). 1324–1324. 4 indexed citations
7.
Kressler, Jochen, et al.. (2023). Salsalate Improves Postprandial Glycemic and Some Lipid Responses in Persons With Tetraplegia: A Randomized Clinical Pilot Trial With Crossover Design. Topics in Spinal Cord Injury Rehabilitation. 29(3). 1–13. 1 indexed citations
8.
Fotino, Carmen, R. Damaris Molano, Moufida Ben Nasr, et al.. (2023). Reversal of Experimental Autoimmune Diabetes With an sCD39/Anti-CD3 Treatment. Diabetes. 72(11). 1641–1651. 6 indexed citations
10.
Martinez, Claudia, Rishi Rikhi, Ana S. Salazar, et al.. (2023). Estrogen-Based Gender-Affirming Hormone Therapy and Subclinical Cardiovascular Disease in Transgender Women with HIV. LGBT Health. 10(8). 576–585. 2 indexed citations
11.
Ge, Mengyuan, Judith Molina, Gloria Michelle Ducasa, et al.. (2021). APOL1 risk variants affect podocyte lipid homeostasis and energy production in focal segmental glomerulosclerosis. Human Molecular Genetics. 30(3-4). 182–197. 33 indexed citations
12.
Szeto, Angela, Andrew Schrepf, Premal H. Thaker, et al.. (2021). Positive Psychosocial Factors and Oxytocin in the Ovarian Tumor Microenvironment. Psychosomatic Medicine. 83(5). 417–422. 4 indexed citations
13.
Jacobson, Denise L., Daniela Neri, Audrey J. Gaskins, et al.. (2020). Maternal anemia and preterm birth among women living with HIV in the United States. American Journal of Clinical Nutrition. 113(6). 1402–1410. 2 indexed citations
14.
Atlas, Steven A., Eduard Tiozzo, Janet Konefal, et al.. (2016). A double-blind, randomized trial on the effect of a broad-spectrum dietary supplement on key biomarkers of cellular aging in healthy adults. Journal of Clinical and Translational Research. 2(4). 2 indexed citations
15.
Llabre, María M., Matthew Allison, John T. Wilkins, et al.. (2015). HDL cholesterol and stroke risk: The Multi-Ethnic Study of Atherosclerosis. Atherosclerosis. 243(1). 314–319. 58 indexed citations
16.
Zhou, Ming-Sheng, Kiranmai Chadipiralla, Armando J. Mendez, et al.. (2013). Nicotine potentiates proatherogenic effects of oxLDL by stimulating and upregulating macrophage CD36 signaling. American Journal of Physiology-Heart and Circulatory Physiology. 305(4). H563–H574. 60 indexed citations
17.
Gardener, Hannah, Milita Crisby, Barry I. Hudson, et al.. (2012). Serum Adiponectin in Relation to Race–Ethnicity and Vascular Risk Factors in the Northern Manhattan Study. Metabolic Syndrome and Related Disorders. 11(1). 46–55. 28 indexed citations
18.
Gardener, Hannah, Milita Crisby, Ronald Goldberg, et al.. (2011). Adiponectin and Carotid Intima-Media Thickness in the Northern Manhattan Study. Stroke. 43(4). 1123–1125. 44 indexed citations
19.
García, Carlos, Juan Díez, Zhu Cao, et al.. (2005). Dendritic Cells in Human Thymus and Periphery Display a Proinsulin Epitope in a Transcription-Dependent, Capture-Independent Fashion. The Journal of Immunology. 175(4). 2111–2122. 36 indexed citations
20.
Sawaya, Marty E., Armando J. Mendez, & S.L. Hsia. (1988). Presence of an inhibitor to androgen binding to receptor protein in human sebaceous gland and hair follicle. Journal of Investigative Dermatology. 90(4). 605. 12 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026